Faculty Collaboration Database

In-depth proteomic analyses of direct expressed prostatic secretions. J Proteome Res 2010 May 07;9(5):2109-16

Date

03/26/2010

Pubmed ID

20334419

Pubmed Central ID

PMC2869496

DOI

10.1021/pr1001498

Scopus ID

2-s2.0-77952060884 (requires institutional sign-in at Scopus site)   62 Citations

Abstract

It is expected that clinically obtainable fluids that are proximal to organs contain a repertoire of secreted proteins and shed cells reflective of the physiological state of that tissue and thus represent potential sources for biomarker discovery, investigation of tissue-specific biology, and assay development. The prostate gland secretes many proteins into a prostatic fluid that combines with seminal vesicle fluids to promote sperm activation and function. Proximal fluids of the prostate that can be collected clinically are seminal plasma and expressed prostatic secretion (EPS) fluids. In the current study, MudPIT-based proteomics was applied to EPS obtained from nine men with prostate cancer and resulted in the confident identification of 916 unique proteins. Systematic bioinformatics analyses using publicly available microarray data of 21 human tissues (Human Gene Atlas), the Human Protein Atlas database, and other published proteomics data of shed/secreted proteins were performed to systematically analyze this comprehensive proteome. Therefore, we believe this data will be a valuable resource for the research community to study prostate biology and potentially assist in the identification of novel prostate cancer biomarkers. To further streamline this process, the entire data set was deposited to the Tranche repository for use by other researchers.

Author List

Drake RR, Elschenbroich S, Lopez-Perez O, Kim Y, Ignatchenko V, Ignatchenko A, Nyalwidhe JO, Basu G, Wilkins CE, Gjurich B, Lance RS, Semmes OJ, Medin JA, Kislinger T

Author

Jeffrey A. Medin PhD Professor in the Pediatrics department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Biomarkers, Tumor
Cluster Analysis
Data Mining
Databases, Protein
Humans
Immunohistochemistry
Male
Prostate
Prostatic Neoplasms
Prostatic Secretory Proteins
Protein Array Analysis
Proteome
Proteomics